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1540135
Financial Modelling
Description
Information Management
No tags specified
financial
modelling
information management
Mind Map by
Emma Burrows
, updated more than 1 year ago
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Created by
Emma Burrows
about 10 years ago
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Resource summary
Financial Modelling
Feasibility
Benefits
Clarify modelobjectives
Identify boundaries- what it will and will not do
Estimate time and resources
understand main risks
broad data requirements
confirm whether model should be built
Problems Avoided
Expectations differ
model is rushed
model does not mitigate risks
solution is suboptimal
model gets abandoned
Should include
Purpose and objectives
users of the model
initail thoughts on how the model will work
level of risk
time and resources needed
signed agreement
Payback period
Analyse
Benefits
Ensures Model Solves correct problem
Forces developer and sponsor to think through problem
common understanding
makes testing easier and effective
new undertanding of problem and more valuable outcome
Problems Avoided
Building takes much longer
frequent chnges introduce errors
design may be haphazard
other stages take longer
model is discarded
Occam's Razor
Define Model Relationships and Reports
Bubble Diagrams
Non descriptive
Who will use reports
Calculation Tables
Useful
Descriptive
Take a long time to make
Design
Benefits
Built in Correct software
Calculations are easy to understand
Appearance is usser friendly and professional
Problems Avoided
Difficult to use
Difficult to navigate
Difficult to develop or amend
Likey to contain errors
Hard to test
Choosing the Software
Spreadsheets
lots of numerical manipulation
user interface
copmplex report structures
databases
data validation
lots of data little calculation
Golden Rules of Design
One formula per row (column)
Refer to left and above
Use multiple worksheets appropirately
Separate inputs, calculations, results
Consistent use of columns
Include documentation sheet
Maintain
Model Must stand alone
Developer may change jobs
Model is not misused
Back Up procedures
Copy saved off site
Control Change
Change request forms
Only one person makes changes
Version number naming rules
Implement
User manuals and training
Communicates how to use model
Sensitivity analaysis
Fluctuations in inputs affect outputs
Monte Carlo 95% degree of certainty
Include Exec. summary
Recommendations and next steps
Scenarios
Different Stories
Possible Inputs
Run trees
Branches of changs with a summary report
Comparator
Run A, Run B, Run A-Run B
Test
Analysis
Review Model reports
Review calculation Tables
Examine data inputs
Unique Formulae
Identify Unique Formulae
Check unique formulae analysis
Check referencing
Numeric
Check results to analysis example
Idenpendently calculate results for seecond time
Reconcile against exsisting report
Robustness
Perform boundary test with sensible inputs
Check zero, negative and large inputs
Macro
check macro buttons and hyperlinks
try to brak macros with reasonable tests
macros have error traps?
Media attachments
Razor.PNG (image/PNG)
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